Variational Mode Decomposition R package VMDecomp version 1.0.2 'RcppArmadillo' implementation for the Matlab code of the 'Variational Mode Decomposition' and 'Two-Dimensional Variational Mode Decomposition'. For more information, see (i) 'Variational Mode Decomposition' by K. Dragomiretskiy and D. Zosso in IEEE Transactions on Signal Processing, vol. 62, no. 3, pp. 531-544, Feb.1, 2014, <doi:10.1109/TSP.2013.2288675>; (ii) 'Two-Dimensional Variational Mode Decomposition' by Dragomiretskiy, K., Zosso, D. (2015), In: Tai, XC., Bae, E., Chan, T.F., Lysaker, M. (eds) Energy Minimization Methods in Computer Vision and Pattern Recognition. EMMCVPR 2015. Lecture Notes in Computer Science, vol 8932. Springer, <doi:10.1007/978-3-319-14612-6_15>. Software Depends: R(>= 3.5.0) Imports: Rcpp (>= 1.0.8.3), data.table, glue LinkingTo: Rcpp, RcppArmadillo Suggests: OpenImageR, R.matlab, testthat (>= 3.0.0), rmarkdown, knitr Lampros Mouselimis <mouselimislampros@gmail.com> Comprehensive R Archive Network (CRAN) Lampros Mouselimis [aut, cre] (ORCID: <https://orcid.org/0000-0002-8024-1546>), Dominique Zosso [cph] (Author of the Variational Mode Decomposition Matlab code), Konstantin Dragomiretskiy [cph] (Author of the Variational Mode Decomposition Matlab code) GPL-3 2025-09-15 application/tgz https://CRAN.R-project.org/package=VMDecomp doi:10.32614/CRAN.package.VMDecomp